Memori

0 reviews

Memori is a differentiated agent-native memory platform because it is not just a conversational memory wrapper or vector retrieval layer; it structures memory from both conversation and agent execution, turning tool calls, decisions, and workflow traces into persistent state for production systems. Memori’s public benchmark materials report 81.95% accuracy on LoCoMo while using only 1,294 tokens per query, roughly 5% of full-context cost, and its open-source project has grown to more than 13.6K GitHub stars, signaling unusually strong developer pull. More broadly, Bessemer Venture Partners has identified memory and context management as a key part of the emerging harness infrastructure layer in AI, referencing Memori as one of the category leaders.